基于附加模糊度参数的卡尔曼滤波模型──GNSS动态载波相位测量的数据处理方法之三  

A Calman Filter Model Based on the Additional Ambiguity Parameters——Data Processing Method on GNSS Kinematic Carrier Phase Measurements(3)

作　　者：刘基余[1] 陈小明 Liu Jiyu;Chen Xiaoming(School of Geodesy and Geomatics, Wuhan University, Wuhan, 43007)

机构地区：[1]武汉大学测绘学院,武汉430079

出　　处：《数字通信世界》2018年第B04期1-5,共5页Digital Communication World

摘　　要：基于附加模糊度参数的卡尔曼滤波模型,是一种获得较高的GNSS动态定位精度的数据处理方法,本文论述了它的基本数学模型。并进行了实际验算。The Calman flter model based on the additional ambiguity parameters is a data processing method to get the high accuracy of GNSS kinematic positioning. This paper discusses its basic mathematical model, and the actual calculation was carried out.

关 键 词：卡尔曼滤波 附加模糊度参数 GNSS动态定位精度 

分 类 号：TN96[电子电信—信号与信息处理]